Experimenting with noise in markerless motion capture

Designing Glitch Procedures and Visualisation Workflows for Markerless Live Motion Capture of Contemporary Dance

“…Our typology of MoCap failures builds on the work of Miller, who has identified errors in the markerless motion capture of human motion that occurred in the system used by him and his team, and has presented his artistic exploration of recorded 'bad captures' [8]. Errors mentioned by Miller included "not having enough cameras, improper stage lighting, and a relatively small stage size" [8]. Elsewhere in the paper, errors deriving from ambient light noise, occlusions and incorrect settings on camera exposure are mentioned.…”

“…In post-production, this data is used to experiment with an abstract aesthetic. Human motion data in Miller's work are transcoded into the visual dynamics of animated 3D modeled shapes, such as type and cloth simulations [8]. Contrary to this approach, Rijmer explores concrete avatars in the human form, both in real-time and edited in post-production.…”

“…A. Bill Miller has recorded noise generated by motion capture data (digital mistakes), which was acquired with Organic Motion 7 , a markerless MoCap system [8]. Rather than "cleaning" the noise in a traditional way, Miller analysed the causes of the digital error to understand the conditions in which glitches occured in their MoCap system.…”